• Journal of Korea Multimedia Society
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• v.9 no.11
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• pp.1421-1434
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• 2006

Spatial data warehouses provide analytical information for decision supports using SOLAP (Spatial On-Line Analytical Processing) operations. Many researches have been studied to reduce analysis cost of SOLAP operations using pre-aggregation methods. These methods use the index composed of fixed size nodes for supporting the concept hierarchy. Therefore, these methods have many unused entries in sparse data area. Also, it is impossible to support the concept hierarchy in dense data area. In this paper, we propose a dynamic pre-aggregation index method based on the spatial hierarchy. The proposed method uses the level of the index for supporting the concept hierarchy. In sparse data area, if sibling nodes have a few used entries, those entries are integrated in a node and the parent entries share the node. In dense data area, if a node has many objects, the node is connected with linked list of several nodes and data is stored in linked nodes. Therefore, the proposed method saves the space of unused entries by integrating nodes. Moreover it can support the concept hierarchy because a node is not divided by linked nodes. Experimental result shows that the proposed method saves both space and aggregation search cost with the similar building cost of other methods.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.6
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• pp.599-603
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• 2008

Flash memory has its unique characteristics: the write operation is much more costly than the read operation and in-place updating is not allowed. In this paper, we analyze how these characteristics of flash memory affect the performance of clustering and non-clustering in record management, and shows that non-clustering is more suitable in flash memory environment, which does not hold in disk environment. Also, we discuss the problems of the existing non-clustering method, and identify considerable designing factors of record management method in flash memory environment.